Practical tools for designing and weighting survey samples

DOI10.1007/978-1-4614-6449-5zbMath1282.62027OpenAlexW4298446921WikidataQ99733887 ScholiaQ99733887MaRDI QIDQ376760

Richard Valliant, Jill A. Dever, Frauke Kreuter

Publication date: 19 November 2013

Published in: Statistics for Social and Behavioral Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-1-4614-6449-5

zbMATH Keywords

softwaredesignsample sizeweighting

Mathematics Subject Classification ID

Software, source code, etc. for problems pertaining to statistics (62-04) Applications of statistics to social sciences (62P25) Sampling theory, sample surveys (62D05) Research exposition (monographs, survey articles) pertaining to statistics (62-02) Applications of statistics to physics (62P35)

Related Items (10)

Estimating Desired Sample Size for Simple Random Sampling of a Skewed Population ⋮ A robust semi-parametric approach for measuring income inequality in Malaysia ⋮ Asymptoic efficiency of M.L.E. using prior survey in multinomial distributions ⋮ Neyman-type sample allocation for domains-efficient estimation in multistage sampling ⋮ Bivariate small‐area estimation for binary and gaussian variables based on a conditionally specified model ⋮ Estimation for volunteer web survey samples using a model-averaging approach ⋮ Power and sample size for observational studies of point exposure effects ⋮ Can \(p\)-values be meaningfully interpreted without random sampling? ⋮ Estimation of dyadic characteristics of family networks using sample survey data ⋮ Optimal representative sample weighting

Uses Software

• R
• S-PLUS
• survival
• lme4
• foreign
• reshape
• quadprog
• SAS
• Excel
• SUDAAN
• rpart
• sampling
• Survey
• pps
• doBy
• samplingbook
• graphics
• stats
• alabama
• WesVar
• svr
• PracTools

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